This volume looks at the latest research techniques to study the interaction of visual spatial learning and attention guidance with behavioral, psychophysiological, and imaging methods. Part One (behavioral methods) focuses on different paradigms of visual search like visual foraging and contextual cueing, and also methods like feature distribution analysis and search in virtual reality. Part Two (psychophysiological methods) integrates innovative uses of classical potential changes like the CDA and N2pc, with multivariate analysis methods and multi-method designs. Part Three (functional imaging) covers lesion-behavior mapping, retinotopic and grid cell mapping methods for human fMRI, as well as functional registration by hyperalignment and simultaneous eye-tracking and fMRI. In Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and comprehensive, Spatial Learning and Attention Guidance is a valuable resource for all researchers and scientists who are interested in learning more about the relationship between attention and memory.

"The ability to predict and guide viewer attention has important applications in computer graphics, image understanding, object detection, visual search and training. Human eye movements provide insight into the cognitive processes involved in task performance and there has been extensive research on what factors guide viewer attention in a scene. It has been shown, for example, that saliency in the image, scene context, and task at hand play significant roles in guiding attention. This dissertation presents and discusses research on visual attention with specific focus on the use of subtle visual cues to guide viewer gaze and the development of algorithms to predict the distribution of gaze about a scene. Specific contributions of this work include: a framework for gaze guidance to enable problem solving and spatial learning, a novel algorithm for task-based eye movement prediction, and a system for real-world task inference using eye tracking. A gaze guidance approach is presented that combines eye tracking with subtle image-space modulations to guide viewer gaze about a scene. Several experiments were conducted using this approach to examine its impact on short-term spatial information recall, task sequencing, training, and password recollection. A model of human visual attention prediction that uses saliency maps, scene feature maps and task-based eye movements to predict regions of interest was also developed. This model was used to automatically select target regions for active gaze guidance to improve search task performance. Finally, we develop a framework for inferring real-world tasks using image features and eye movement data. Overall, this dissertation naturally leads to an overarching framework, that combines all three contributions to provide a continuous feedback system to improve performance on repeated visual search tasks. This research has important applications in data visualization, problem solving, training, and online education."--Abstract.

Do you know things without being able to explain how or why? Do you solve problems in unusual ways? Do you think in pictures rather than in words? If so, you are not alone. One-third of the population thinks in images. You may be one or you may live with one. If you teach, it is absolutely certain that some of your students.

The Influence of Attention, Learning, and Motivation on Visual Search will bring together distinguished authors who are conducting cutting edge research on the many factors that influence search behavior. These factors will include low-level feature detection; statistical learning; scene perception; neural mechanisms of attention; and applied research in real world settings.

Publisher Description

Are you looking for ways to differentiate your instruction to meet the needs of gifted visual-spatial learners? You've found it in Visual-Spatial Learners: Understanding the Learning Style Preference of Bright But Disengaged Students (2nd ed.). Visual-spatial learners are students who show advanced abilities with computers, maps, construction toys, and puzzles. The techniques outlined within these pages help all learners succeed—regardless of preferred learning style. Based on the most current understanding of the brain's hemispheric functions, the author provides a number of strategies and lesson plan ideas to help make your classroom a successful learning environment for all learners. These strategies address preparing students to succeed on timed tests; easing the pain of handwriting; teaching spelling using imagery; incorporating mnemonics, rhyme, and other tricks that engage the right hemisphere of the brain; helping students stay focused and on track; getting—and keeping—students organized; and much more!